Cloud native implementation includes pay-as-you go pricing and deployment via Google, Azure and AWS marketplace.
Key based identity and access management. Data signatures allow highly granular traceability and accounting.
World's fastest high throughput scheduler. Ensures maximum capacity utilization even with the most demanding workloads.
Techila Distributed Computing Engine is available in AWS Marketplace, Google Cloud Marketplace, and Microsoft Azure Marketplace.
Deployment is done with a couple of mouse clicks and everything will run in your own cloud account.
The Techila Dashboard is a web interface that runs on your Techila Server.
You can access it via your browser to download the Techila SDK to your development computer and to provision cloud computing capacity.
The Techila SDK contains APIs for several popular programming languages, such as Python, MATLAB, Julia, R and .NET.
You can use these APIs in your code to scale out the computationally intensive parts.
After making the code changes, you can start computing capacity using the Techila dashboard and run your code.
Compute nodes will be automatically configured based on your application's requirements and process the parallel workload.
Talk directly with experienced solutions architects.
Have your requirements be included in bespoke roadmap items tailored to your use-case.
Large deployments automatically qualify for volume pricing.
With Google Cloud and Techila, Sharifvaghefi ran the simulations on 40,000 spot vCPUs. “This would have been impossible on shared campus resources,” he says. Pasquini agrees, adding that deploying Google Cloud and Techila was like “providing an easy button.”
“By employing an imaging acceleration technique, we can reduce the scan time but patients and doctors need to wait longer for image reconstruction. With the computational acceleration of Techila and GCP that issue could be greatly alleviated.”
“The role of computing is critical in MacGregor’s business. Nearly all marine structural components are custom designed for a specific application. Tendering stages are quick, and producing a price quote and an initial design proposal need support from the computing. ”